Welcome back! In our first instalment of the Memory Series – pt. 1, we reviewed the basics of Java’s Internals, Java Virtual Machine (JVM), the memory regions found within, garbage collection, and how memory leaks might happen in cloud instances. In this second post we cover more in-depth facets of cloud storage as it pertains…
Where Has My Memory Gone? Finding Memory Leaks in Java Microservices Welcome to this two-part series about troubleshooting memory-related issues in a containerized cloud environment. These posts will discuss the basics of how memory is managed for Java applications and how to develop a procedure which can be used to identify memory problems. So let’s…
Azure customers given complete access to rich set of cloud encoding and playback features from Bitmovin at IBC 2019 Bitmovin is excited to announce the integration of our world-class innovative cloud-based video streaming solutions, the Encoder and Player, with Microsoft’s Azure. Azure customers can now use encoding and player solutions from Bitmovin to create highly…
In today’s new era of cloud computing many companies are leveraging the cloud by uploading simple tasks into on-demand and serverless cloud services. AWS Lambda abstracts the servers layer and offers pay-per-compute-time pricing. This makes it an ideal tool to run code for virtually any type of application without any cloud servers administration hassle, which…
Bitmovin is the future of video cloud transcoding, providing a high performance cloud-service to transcode multimedia content at speed in excess of 100x real-time, even for highest 4k and 8k qualities. Cloud transcoding Bitmovin is a high-performance adaptive bitrate transcoding and streaming platform for cutting edge media formats such as MPEG-DASH and HLS, (including HLS 4k), which are…
Most media business professionals are naturally attracted to the idea of utilizing consumers’ ever-increasing data bandwidth, be it on home WiFi, cellular data, or other means of streaming video to the increasing array of consumer devices. Although that “last mile” part costs the content rights holder “nothing”, delivering a video streaming service worth paying for…
Video Bitrates for Streaming Choosing an appropriate streaming bitrate for a specific resolution, while maintaining an acceptable visual quality is not always that easy. The decision depends heavily on the content, e.g., motion, resolution, video bitrate, frame-rate etc. In adaptive streaming systems like MPEG Dynamic Adaptive Streaming over HTTP (DASH) and Apple HTTP Live Streaming (HLS)…
The Per-Title Ladder Bitrate Benchmark Tool is a great way to test the benefits of Per-Title encoding with your own video content. This post explains the test results. Since the launch of the Per-Title Bitrate Ladder Benchmark Tool in the Bitmovin dashboard, we have been pleased to see how many of you have tested Per-Title…
Per-Title Encoding offers greatly reduced bitrates without compromising (and even increasing) quality. Bitmovin has just released a Benchmark Tool which helps you to optimize your encoding workflow.
In the last decade, the tech industry has rallied around one codec for streaming video files over the internet: MPEG’s AVC/H.264. Now the market is moving toward a new generation of video codecs that offer 30% to 70% better compression than H.264. Is your team ready to transition? Adopting the new generation compression is important…
The Bitmovin Blog. Keeping you informed.